{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "s-_LXMfxPYNn"
   },
   "source": [
    "# Scales, Axes, and Legends\n",
    "\n",
    "Visual encoding &ndash; mapping data to visual variables such as position, size, shape, or color &ndash; is the beating heart of data visualization. The workhorse that actually performs this mapping is the *scale*: a function that takes a data value as input (the scale *domain*) and returns a visual value, such as a pixel position or RGB color, as output (the scale *range*).  Of course, a visualization is useless if no one can figure out what it conveys! In addition to graphical marks, a chart needs reference elements, or *guides*, that allow readers to decode the graphic. Guides such as *axes* (which visualize scales with spatial ranges) and *legends* (which visualize scales with color, size, or shape ranges), are the unsung heroes of effective data visualization!\n",
    "\n",
    "In this notebook, we will explore the options Altair provides to support customized designs of scale mappings, axes, and legends, using a running example about the effectiveness of antibiotic drugs.\n",
    "\n",
    "_This notebook is part of the [data visualization curriculum](https://github.com/uwdata/visualization-curriculum)._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9-iDk57UO3ij"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import altair as alt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2bgy9xz4J2vb"
   },
   "source": [
    "## Antibiotics Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "cXYJkW_p6zGN"
   },
   "source": [
    "After World War II, antibiotics were considered \"wonder drugs\", as they were an easy remedy for what had been intractable ailments. To learn which drug worked most effectively for which bacterial infection, performance of the three most popular antibiotics on 16 bacteria were gathered."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "YRXEnlzG8Cpt"
   },
   "source": [
    "We will be using an antibiotics dataset from the [vega-datasets collection](https://github.com/vega/vega-datasets). In the examples below, we will pass the URL directly to Altair:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "jbtcg3fmJ5_A"
   },
   "outputs": [],
   "source": [
    "from vega_datasets import data\n",
    "antibiotics = data.burtin.url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "MGHC8Fft8L2E"
   },
   "source": [
    "We can first load the data with Pandas to view the dataset in its entirety and get acquainted with the available fields:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 545
    },
    "colab_type": "code",
    "id": "WoMzr0HE6ipZ",
    "outputId": "fa9edadf-8744-4514-d8ba-5401b7f66bed"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Bacteria</th>\n",
       "      <th>Penicillin</th>\n",
       "      <th>Streptomycin</th>\n",
       "      <th>Neomycin</th>\n",
       "      <th>Gram_Staining</th>\n",
       "      <th>Genus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aerobacter aerogenes</td>\n",
       "      <td>870.000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.600</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bacillus anthracis</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.007</td>\n",
       "      <td>positive</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brucella abortus</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.020</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Diplococcus pneumoniae</td>\n",
       "      <td>0.005</td>\n",
       "      <td>11.00</td>\n",
       "      <td>10.000</td>\n",
       "      <td>positive</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Escherichia coli</td>\n",
       "      <td>100.000</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.100</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Klebsiella pneumoniae</td>\n",
       "      <td>850.000</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.000</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mycobacterium tuberculosis</td>\n",
       "      <td>800.000</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.000</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Proteus vulgaris</td>\n",
       "      <td>3.000</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.100</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Pseudomonas aeruginosa</td>\n",
       "      <td>850.000</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.400</td>\n",
       "      <td>negative</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Salmonella (Eberthella) typhosa</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.008</td>\n",
       "      <td>negative</td>\n",
       "      <td>Salmonella</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Salmonella schottmuelleri</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.090</td>\n",
       "      <td>negative</td>\n",
       "      <td>Salmonella</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Staphylococcus albus</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.001</td>\n",
       "      <td>positive</td>\n",
       "      <td>Staphylococcus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Staphylococcus aureus</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.001</td>\n",
       "      <td>positive</td>\n",
       "      <td>Staphylococcus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Streptococcus fecalis</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.100</td>\n",
       "      <td>positive</td>\n",
       "      <td>Streptococcus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Streptococcus hemolyticus</td>\n",
       "      <td>0.001</td>\n",
       "      <td>14.00</td>\n",
       "      <td>10.000</td>\n",
       "      <td>positive</td>\n",
       "      <td>Streptococcus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Streptococcus viridans</td>\n",
       "      <td>0.005</td>\n",
       "      <td>10.00</td>\n",
       "      <td>40.000</td>\n",
       "      <td>positive</td>\n",
       "      <td>Streptococcus</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Bacteria  Penicillin  Streptomycin  Neomycin  \\\n",
       "0              Aerobacter aerogenes     870.000          1.00     1.600   \n",
       "1                Bacillus anthracis       0.001          0.01     0.007   \n",
       "2                  Brucella abortus       1.000          2.00     0.020   \n",
       "3            Diplococcus pneumoniae       0.005         11.00    10.000   \n",
       "4                  Escherichia coli     100.000          0.40     0.100   \n",
       "5             Klebsiella pneumoniae     850.000          1.20     1.000   \n",
       "6        Mycobacterium tuberculosis     800.000          5.00     2.000   \n",
       "7                  Proteus vulgaris       3.000          0.10     0.100   \n",
       "8            Pseudomonas aeruginosa     850.000          2.00     0.400   \n",
       "9   Salmonella (Eberthella) typhosa       1.000          0.40     0.008   \n",
       "10        Salmonella schottmuelleri      10.000          0.80     0.090   \n",
       "11             Staphylococcus albus       0.007          0.10     0.001   \n",
       "12            Staphylococcus aureus       0.030          0.03     0.001   \n",
       "13            Streptococcus fecalis       1.000          1.00     0.100   \n",
       "14        Streptococcus hemolyticus       0.001         14.00    10.000   \n",
       "15           Streptococcus viridans       0.005         10.00    40.000   \n",
       "\n",
       "   Gram_Staining           Genus  \n",
       "0       negative           other  \n",
       "1       positive           other  \n",
       "2       negative           other  \n",
       "3       positive           other  \n",
       "4       negative           other  \n",
       "5       negative           other  \n",
       "6       negative           other  \n",
       "7       negative           other  \n",
       "8       negative           other  \n",
       "9       negative      Salmonella  \n",
       "10      negative      Salmonella  \n",
       "11      positive  Staphylococcus  \n",
       "12      positive  Staphylococcus  \n",
       "13      positive   Streptococcus  \n",
       "14      positive   Streptococcus  \n",
       "15      positive   Streptococcus  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_json(antibiotics)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "els3ZQOv7K_9"
   },
   "source": [
    "The numeric values in the table indicate the [minimum inhibitory concentration (MIC)](https://en.wikipedia.org/wiki/Minimum_inhibitory_concentration), a measure of the effectiveness of the antibiotic, which represents the concentration of antibiotic (in micrograms per milliliter) required to prevent growth in vitro. The reaction of the bacteria to a procedure called [Gram staining](https://en.wikipedia.org/wiki/Gram_stain) is described by the nominal field `Gram_Staining`. Bacteria that turn dark blue or violet are Gram-positive. Otherwise, they are Gram-negative.\n",
    "\n",
    "As we examine different visualizations of this dataset, ask yourself: What might we learn about the relative effectiveness of the antibiotics? What might we learn about the bacterial species based on their antibiotic response?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9ZNMXWOzKvRa"
   },
   "source": [
    "## Configuring Scales and Axes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "dawVYXt1WNJz"
   },
   "source": [
    "### Plotting Antibiotic Resistance: Adjusting the Scale Type\n",
    "\n",
    "Let's start by looking at a simple dot plot of the MIC for Neomycin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "dBOlbuYpKx6L",
    "outputId": "90dfa88f-a287-4d0f-84ee-02f88f2f4701"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": "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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "eTBRtG7CWVVX"
   },
   "source": [
    "_We can see that the MIC values span orders of magnitude: most points to cluster on the left, with a few large outliers to the right._\n",
    "\n",
    "By default Altair uses a `linear` mapping between the domain values (MIC) and the range values (pixels). To get a better overview of the data, we can apply a different scale transformation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-K94jPdi9xUJ"
   },
   "source": [
    "To change the scale type, we'll set the `scale` attribute, using the `alt.Scale` method and `type` parameter.\n",
    "\n",
    "Here's the result of using a square root (`sqrt`) scale type. Distances in the pixel range now correspond to the square root of distances in the data domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "QB5YNBMWLewL",
    "outputId": "45edabce-e14c-4e47-ee0e-838d03eaebb9"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "type": "sqrt"
         },
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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tIDzMKub79RXOZqFyMjMSzoJhJsTM5TCfcmtFeLDD93o9jqN9am6GP6GRA9dIx/Edzl7h1EYTHhu2XceACU/XXfKucDgtPDjMrAUxaexqIzXGTIS1GdZUmJ38SFJzufylvjQ+aTMOtWvMeKiejGiwY44NCBwBzCYDToxsbJFmNtVYn9nNCw4/ozG7It3GrArhoR9Ou2SNh89Ze+JUSjYp2IynK4ZsdzlpwtNd19u8fYwBXt7kNEzOYEm/vMmuMw4kY6PBaI4N4JwSNiCc4dd/0pyz040XRtnoYBsGbDR2LQMmPF176c3xDjDATjjSaTReWuVsFWvGgDHQxIAJjw0JYyA/BjgIiy3YbNW+P79urSdjoFoMmPBU63qaN8aAMWAMRM+ACU/0l8gAGgPGgDFQLQZMeKp1Pc0bY8AYMAaiZ+D//bQSqJj3vXEAAAAASUVORK5CYII=",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          scale=alt.Scale(type='sqrt'))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qqosAiy5XDKJ"
   },
   "source": [
    "_The points on the left are now better differentiated, but we still see some heavy skew._\n",
    "\n",
    "Let's try using a [logarithmic scale](https://en.wikipedia.org/wiki/Logarithmic_scale) (`log`) instead:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "jGlWyOOMLoQ3",
    "outputId": "6e386312-0477-4f04-a845-f4c9f67a4ac0"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "type": "log"
         },
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          scale=alt.Scale(type='log'))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "MapiFW7hXMOG"
   },
   "source": [
    "_Now the data is much more evenly distributed and we can see the very large differences in concentrations required for different bacteria._\n",
    "\n",
    "In a standard linear scale, a visual (pixel) distance of 10 units might correspond to an *addition* of 10 units in the data domain. A logarithmic transform maps between multiplication and addition, such that `log(u) + log(v) = log(u*v)`. As a result, in a logarithmic scale, a visual distance of 10 units instead corresponds to *multiplication* by 10 units in the data domain, assuming a base 10 logarithm. The `log` scale above defaults to using the logarithm base 10, but we can adjust this by providing a `base` parameter to the scale."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "P3u_mJgLeJGt"
   },
   "source": [
    "### Styling an Axis\n",
    "\n",
    "Lower dosages indicate higher effectiveness. However, some people may expect values that are \"better\" to be \"up and to the right\" within a chart. If we want to cater to this convention, we can reverse the axis to encode \"effectiveness\" as a reversed MIC scale.\n",
    "\n",
    "To do this, we can set the encoding `sort` property to `'descending'`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "4gNdIiP7Lu8_",
    "outputId": "d11f184f-9040-444b-b478-5e63cae4102a"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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JhOcMsw8Ry3Cuyc91ynSIQMMQkPA0TFOqIjECkfDw/QkXG+UuljwoPNwKgyEsbt8ebezFc5EgcTTDBSC5ARm3SueqyBytUHjeb1Zcp/3o/RF3tmXYjPvGRBuRUfQ44uGGZVwwlqLDrUK49hjXMeS7He5Oyz1nyoWHIyQKIHd1pGBRuCQ8cu+GIiDhaajmVGUMgbjwvB7A4zHh+bUZrVB4OKrg9tocbZxuVormCsfcxpwjIY5cuEU6N85yER5eh+mmmutxx0aG5saZnRu5MSBnrzEN97PiDrgSHrlt0xGQ8DRdkzdFhePCwwpz1EIxiWa1MTTGkQi3yuA7FY5OfmGW0GeoLDrmALjYhM241Xs04uHy/BQNzpjjO6LLzCQD7oAZTZHmaCp6P7OLERyei0ZXDLdxVEXhoR1uy853PPydWz3fYCYpaMTTFC7bXJWU8DRXe6u2rxDgx5vc/ZN7y3PEEx2cdXawmWhAUcp6vM2Mcmaa9z/x/Jzpxg9GOdFBEwayklX6hiEg4WmYplRFhgABzoRjOI0HP1rlflU6REAEyghIeOQSIlAcAW5MxvdBnKrNnTN1iIAIJBCQ8MgtREAEREAEakpAwlNT3LqYCIiACIiAhEc+IAIiIAIiUFMC/wf9paN6zwDWTgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Wp2lmW6SXxcQ"
   },
   "source": [
    "_Unfortunately the axis is starting to get a bit confusing: we're plotting data on a logarithmic scale, in the reverse direction, and without a clear indication of what our units are!_\n",
    "\n",
    "Let's add a more informative axis title: we'll use the `title` property of the encoding to provide the desired title text:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "aP8fcU36L4iB",
    "outputId": "936f1956-ae09-492e-897d-027093205576"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9tpvPMM3YT2H"
   },
   "source": [
    "Much better!\n",
    "\n",
    "By default, Altair places the x-axis along the bottom of the chart. To change these defaults, we can add an `axis` attribute with `orient='top'`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "id": "GMR7Tg4n-Vgu",
    "outputId": "053818a8-0e6c-4a7c-cb15-a0441406096b"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "axis": {
          "orient": "top"
         },
         "field": "Neomycin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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4tuV3Gcu26zYXiAdMQjrApw1YY0Qnq3QzFc+Y/HEkHi4x5W45wuGs9XCLODdf49VgX/h0R9kGEZq7yT3j8wn9UhP52Dif5oJuxvSmCqN+Nm0oxMMON3apwZZcBsgtwfyb6+PZRQIhcbMwidtnuYCxK/d8EQ7037OhftzhRHij7ToDPLFm/536tuWnGqNh5qvCsu13MrjRJ24pHucU0gF27UE+bMoZFM+Y/CLxFHWzy5hSTz5mR2LDAEafnVNEWnxIrWyDOCZRvq6HG7H9V1GL7W0iHxtXJJ5x182Y3lRh1M+mle1fpY6lhtpCAoi5/qB0zoJFPdZOiM2OSxp2nYctf1xwPpzrOWwdGLb82eg7dl5xgziL3FUT2JANSq3rsOWn1mM288X0pgqjWLlomwYhnqhwy2AIGAKGgCFgCJQRMOIxnTAEDAFDwBAYKQKVxLNu3bpXr1q1is/N7k91/19VLvZ76vO6+cqoltvTNup18aqqT93f6+LSFIem5VJxNvxSkQrnM/wMv34IjHr8Jns8a9euzVevXn2QmOr+37+oXC72e+rzuvnKDa+q12Dq+svSdfGqi1Os/rHnht+h+t1UP1Jxbiq/qT6a/jVF7kA5w69d/Ix4HAJNDUZqd5jipiIVzmf4GX79ELDxGybIVK0ZNX5GPEY8h+hAUwVsWq7pwKhLRDGPLlb/2POY/Fg7U+XH5FQ9r4uXedyHImn4NdW8NEKsXOMx4NsFvi6eMcMWM1yx5zH5sdanyo/JMcPZFKH+5erqmxGPEU+bmhizD5XEc8kll+y+4YYb+O6EJUPAEDAEDAFDIBmBo48+es+KFSu4YCCYKonnuuuuyxcsWHDwed3/+7eVy8V+T31eN1+59VX1SkY2krEuXnVxitU/9tzwO1S/m+pHKs5N5TfVR9O/psgdKGf4tYtfWZoRz2D4VpY2xR0MWMPP8OuHQFPCT0XV9C8VqXC+WP8Y8QyGrxGP4XdIZCAVjtjATJVTlc8M52AIGn7t4mcej0PABn44pJCqboaf4VcMxTcNJTbVo6blmup3XSLy76kbQo+Va4pzW+Wa4mfEY8RziA40HcBNyzVVXBv4qciFCdHwM/yKCIx6/BrxGPEY8QQWj5vOCJsO4KblUs1nXaKpOzOP1T/2vO7Mvmn/pOIVk18Xz1j7YvjEnsfkx9qdKj8mp+p5TH7n1niWrpp6orL80csfedyajZ+//oRN657Nh58qU6yBTYFpCviylevPyrPekuOPPerkb+y4aeWV50/yIavau2RiihVrd+x5TH5V+5e/fP2imZ4W0T8btnz3pCvPO+0an3fJWe86ct68I06VZh7ay7OdeTa94Yq1z/LfqU+CFPm5soXLHnXsOZdv2bH4Y+dNbh4lfuOvf1MXKdOiu97piPvvvHH3pRPzJ66mP5520n3WfPBz317g+yNmSGP6EdOv2POY/Cb6l6RgiZlC+LzwbZ+54/ze/EV5TwvB8wOf3XZClmU3Z/nEKYsffsyFV335+2fs27d3/VUXPJevMe9PdQk9Vi5GkInNq6xXavmqfFX2r5y/U8SzfNX6M5Rl+z9x++B733n517bv2jiT7zu7H/mkKnhbHdavYwBdE9lZ5Dnq9vPv8bPdt+7UdH7BFedPXhAb6HUVNNbu2PO6Ck7+pavWn97Lssli/0zP6FxPPktXr399TxkfOduf8lw/37Nn5szNbzmdj51FE6SjXnZmUb5m8gs3nje5eRT4jb/+TV2kXrb/w2fzJrIj9k3PTCvPd2S9bCvj6avX75q6dXrvCgxjDM+YfsT0K/Y8Jj+kLDH9iypYjQwhfF7y9i0vy3pa5PVz6/W7rsxnsj0TE/n8g/ZK+dZNayfPjrUvhk/seUx+rKmp8mNyis/72b9OE8+yVVNvzTLd91DiyddvWjfJd9SDqSmATcv164ilay67KsvzE8jjiSfPsq9sesMzl8QG+lgQT4FY/EBTnl++cd3kxbR5+eqpDWV8isQUU+Jlq6dekUkLi/2fS9dcsfa0c0eB37jr37LVU99SnvFxNE88M3mm3T3pk76/fH/E8IwZttj4iT2PyQ8ST0T/YvpV53kInxdfvOWynnTkQeLZfuOnpOwOPWnnwfEgaePa006JtS+GT+x5TH6sranyY3KKz/vZPyMeh8CogY8NdCMeyYinzjC/bV4jnsHwK5Y24qmP5dgSz/iHOg6/UFsxFFoOtc1IN9+ye+alFmq77SAexsRn2cr+obat23ddtm/f3ufPpVBbLBRf33weKJEcasuzWyZ6+TwLtUljG2qjw/3i7lMXshi6bTw3F8zrLTn+nked/M3tN61kfadKkftdSRRzpWOGK/Y8Jr9qwB7cXHDicWs2XBvYXDBxu8VsDslmsh+qN315o80FvWzhshOPPWfTtTsWs74zSvzGX/+mLtLEgc0FP/rx7kuzedlmZXoI4+lD18yhzQUB/WtKMqFyIeJhc8E8p9/ePrG5QDMTp578iGPefPWXvveCvdO3vu+w31wQsH+dDrX1c3WrlCrVwJbLNy2Xqtx1Q2vjEGpr0j+peMX6py6eMWKN9X/seUx+rN2p8mNyUseF4VcPybp42fg9FN+YfndqV1sTwxZrYOrArKeW8dymuHGM+uUw/Ay/OvoxGFq3LW36NxiiMbtsxDMYvpWlTXEHA9bwM/yMeH75dYC2J9AxYhhM+6rPL3m5RjyDIlxR3gznYMAafoafEY8Rz5w5eT9obD7VHJjhTEUqnM/wM/yMeIx4jHhq2gEznDUBK2U3/Aw/Ix4jHiOemnbADGdNwIx4BgPM8DP8aiDQ2TWebdu2bcvzfP/1NZYMAUPAEDAEDIEaCHxnwYIFlfxRubmgxgssqyFgCBgChoAhkIyAEU8yVJbREDAEDAFDoA0EjHjaQNFkGAKGgCFgCCQjYMSTDJVlNAQMAUPAEGgDgf8HvECLmKCmFYcAAAAASUVORK5CYII=",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'),\n",
    "          axis=alt.Axis(orient='top'),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "opQaDD-g-btc"
   },
   "source": [
    "Similarly, the y-axis defaults to a `'left'` orientation, but can be set to `'right'`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "l1WXNzJC9hxi"
   },
   "source": [
    "### Comparing Antibiotics: Adjusting Grid Lines, Tick Counts, and Sizing\n",
    "\n",
    "_How does neomycin compare to other antibiotics, such as streptomycin and penicillin?_\n",
    "\n",
    "To start answering this question, we can create scatter plots, adding a y-axis encoding for another antibiotic that mirrors the design of our x-axis for neomycin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 372
    },
    "colab_type": "code",
    "id": "CjDce4pG_SXP",
    "outputId": "9459f0fb-088e-4e60-92f3-5f7992b3509d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "field": "Streptomycin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "title": "Streptomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Streptomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'),\n",
    "          title='Streptomycin MIC (μg/ml, reverse log scale)')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DnfjvOKo_VI2"
   },
   "source": [
    "_We can see that neomycin and streptomycin appear highly correlated, as the bacterial strains respond similarly to both antibiotics._\n",
    "\n",
    "Let's move on and compare neomycin with penicillin:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 372
    },
    "colab_type": "code",
    "id": "hqc6DFgvNHAT",
    "outputId": "6713ba6b-8879-43be-e7ed-4340974b2c20"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "field": "Penicillin",
         "scale": {
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log'),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "fSdm-7VjYjij"
   },
   "source": [
    "_Now we see a more differentiated response: some bacteria respond well to neomycin but not penicillin, and vice versa!_\n",
    "\n",
    "While this plot is useful, we can make it better. The x and y axes use the same units, but have different extents (the chart width is larger than the height) and different domains (0.001 to 100 for the x-axis, and 0.001 to 1,000 for the y-axis).\n",
    "\n",
    "Let's equalize the axes: we can add explicit `width` and `height` settings for the chart, and specify matching domains  using the scale `domain` property."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "8HdsAzWBNVoB",
    "outputId": "2701bbff-a789-4eb0-f6bd-3f66565be916"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": "circle",
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)')\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "oknzZZ-lZYaH"
   },
   "source": [
    "_The resulting plot is more balanced, and less prone to subtle misinterpretations!_\n",
    "\n",
    "However, the grid lines are now rather dense. If we want to remove grid lines altogether, we can add `grid=False` to the `axis` attribute. But what if we instead want to reduce the number of tick marks, for example only including grid lines for each order of magnitude?\n",
    "\n",
    "To change the number of ticks, we can specify a target `tickCount` property for an `Axis` object. The `tickCount` is treated as a *suggestion* to Altair, to be considered alongside other aspects such as using nice, human-friendly intervals. We may not get *exactly* the number of tick marks we request, but we should get something close."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "v4Awwd_kN_bf",
    "outputId": "b047adfe-6491-44f4-d84b-8e22836ad923"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": "circle",
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle().encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)')\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "upaCzdH7aIvu"
   },
   "source": [
    "By setting the `tickCount` to 5, we have the desired effect.\n",
    "\n",
    "Our scatter plot points feel a bit small. Let's change the default size by setting the `size` property of the circle mark. This size value is the *area* of the mark in pixels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "aERDKc0KOhco",
    "outputId": "e3257bc3-40aa-4539-edea-a923c0329675"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'), \n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "I-0rEs3lapPh"
   },
   "source": [
    "Here we've set the circle mark area to 80 pixels. _Further adjust the value as you see fit!_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "AJ8dwejXO9cc"
   },
   "source": [
    "## Configuring Color Legends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "obwIbbZa_KNd"
   },
   "source": [
    "### Color by Gram Staining\n",
    "\n",
    "_Above we saw that neomycin is more effective for some bacteria, while penicillin is more effective for others. But how can we tell which antibiotic to use if we don't know the specific species of bacteria? Gram staining serves as a diagnostic for discriminating classes of bacteria!_\n",
    "\n",
    "Let's encode `Gram_Staining` on the `color` channel as a nominal data type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "pkSc_PXyAuGg",
    "outputId": "01446cfb-f968-4dfb-c695-4372f55bd5f1"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Gram_Staining",
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Gram_Staining:N')\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "a1Ec7fCUBQJn"
   },
   "source": [
    "_We can see that Gram-positive bacteria seem most susceptible to penicillin, whereas neomycin is more effective for Gram-negative bacteria!_\n",
    "\n",
    "The color scheme above was automatically chosen to provide perceptually-distinguishable colors for nominal (equal or not equal) comparisons. However, we might wish to customize the colors used. In this case, Gram staining results in [distinctive physical colorings: pink for Gram-negative, purple for Gram-positive](https://en.wikipedia.org/wiki/Gram_stain#/media/File:Gram_stain_01.jpg).\n",
    "\n",
    "Let's use those colors by specifying an explicit scale mapping from the data `domain` to the color `range`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "XA4UUWriCEox",
    "outputId": "f2ada6d0-d969-4927-a268-6f842c1b65ad"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Gram_Staining",
         "scale": {
          "domain": [
           "negative",
           "positive"
          ],
          "range": [
           "hotpink",
           "purple"
          ]
         },
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Gram_Staining:N',\n",
    "          scale=alt.Scale(domain=['negative', 'positive'], range=['hotpink', 'purple'])\n",
    "    )\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "cfgvdp8cBHmZ"
   },
   "source": [
    "By default legends are placed on the right side of the chart. Similar to axes, we can change the legend orientation using the `orient` parameter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "wlb7-9SNBUdZ",
    "outputId": "32b3e78c-7860-4ef4-850f-9af24cb58edd"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Gram_Staining",
         "legend": {
          "orient": "left"
         },
         "scale": {
          "domain": [
           "negative",
           "positive"
          ],
          "range": [
           "hotpink",
           "purple"
          ]
         },
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Gram_Staining:N',\n",
    "          scale=alt.Scale(domain=['negative', 'positive'], range=['hotpink', 'purple']),\n",
    "          legend=alt.Legend(orient='left')\n",
    "    )\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nwoOrGb6BtrF"
   },
   "source": [
    "We can also remove a legend entirely by specifying `legend=None`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "YEcweSOABxss",
    "outputId": "a6e539ce-1b2c-4b6f-c504-edbeb659b5d4"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Gram_Staining",
         "legend": null,
         "scale": {
          "domain": [
           "negative",
           "positive"
          ],
          "range": [
           "hotpink",
           "purple"
          ]
         },
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Gram_Staining:N',\n",
    "          scale=alt.Scale(domain=['negative', 'positive'], range=['hotpink', 'purple']),\n",
    "          legend=None\n",
    "    )\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "M64uVeFHDIlT"
   },
   "source": [
    "### Color by Species\n",
    "\n",
    "_So far we've considered the effectiveness of antibiotics. Let's turn around and ask a different question: what might antibiotic response teach us about the different species of bacteria?_\n",
    "\n",
    "To start, let's encode `Bacteria` (a nominal data field) using the `color` channel:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "di1mU7ynOq0u",
    "outputId": "4d7a1300-79ea-429c-9a6a-4de170eabddf"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Bacteria",
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Bacteria:N')\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "8Z02YhSRa6aw"
   },
   "source": [
    "_The result is a bit of a mess!_ There are enough unique bacteria that Altair starts repeating colors from its default 10-color palette for nominal values.\n",
    "\n",
    "To use custom colors, we can update the color encoding `scale` property. One option is to provide explicit scale `domain` and `range` values to indicate the precise color mappings per value, as we did above for Gram staining. Another option is to use an alternative color scheme. Altair includes a variety of built-in color schemes. For a complete list, see the [Vega color scheme documentation](https://vega.github.io/vega/docs/schemes/#reference).\n",
    "\n",
    "Let's try switching to a built-in 20-color scheme, `tableau20`, and set that using the scale `scheme` property."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "wkt58FGQPCU2",
    "outputId": "365fc89f-4ab4-47aa-fe40-70f175c2c58d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Bacteria",
         "scale": {
          "scheme": "tableau20"
         },
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Bacteria:N',\n",
    "          scale=alt.Scale(scheme='tableau20'))\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "28Hr54iIbwE4"
   },
   "source": [
    "_We now have a unique color for each bacteria, but the chart is still a mess. Among other issues, the encoding takes no account of bacteria that belong to the same genus. In the chart above, the two different Salmonella strains have very different hues (teal and pink), despite being biological cousins._\n",
    "\n",
    "To try a different scheme, we can also change the data type from nominal to ordinal. The default ordinal scheme uses blue shades, ramping from light to dark:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "L3XSjQqePa-z",
    "outputId": "dd1dad11-c74e-4339-9533-4cd195af12a2"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Bacteria",
         "type": "ordinal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Bacteria:O')\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Me8FkMJlErIi"
   },
   "source": [
    "_Some of those blue shades may be hard to distinguish._\n",
    "\n",
    "For more differentiated colors, we can experiment with alternatives to the default `blues` color scheme. The `viridis` scheme ramps through both hue and luminance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "r7Jb5izEE1b4",
    "outputId": "3927106a-dd42-43c5-847a-4f030b467c4c"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Bacteria",
         "scale": {
          "scheme": "viridis"
         },
         "type": "ordinal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Bacteria:O',\n",
    "          scale=alt.Scale(scheme='viridis'))\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "o98wtYo4cIAz"
   },
   "source": [
    "_Bacteria from the same genus now have more similar colors than before, but the chart still remains confusing. There are many colors, they are hard to look up in the legend accurately, and two bacteria may have similar colors but different genus._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Hpjqbi4rAhst"
   },
   "source": [
    "### Color by Genus\n",
    "\n",
    "Let's try to color by genus instead of bacteria. To do so, we will add a `calculate` transform that splits up the bacteria name on space characters and takes the first word in the resulting array. We can then encode the resulting `Genus` field using the `tableau20` color scheme.\n",
    "\n",
    "(Note that the antibiotics dataset includes a pre-calculated `Genus` field, but we will ignore it here in order to further explore Altair's data transformations.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "39g0fVG6cuTG",
    "outputId": "654d3638-bded-4bbc-c88b-2e52c88e541c"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Genus",
         "scale": {
          "scheme": "tableau20"
         },
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "transform": [
        {
         "as": "Genus",
         "calculate": "split(datum.Bacteria, \" \")[0]"
        }
       ],
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).transform_calculate(\n",
    "    Genus='split(datum.Bacteria, \" \")[0]'\n",
    ").encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Genus:N',\n",
    "          scale=alt.Scale(scheme='tableau20'))\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "UMH3wAeWdAXL"
   },
   "source": [
    "_Hmm... While the data are better segregated by genus, this cacapohony of colors doesn't seem particularly useful._\n",
    "\n",
    "_If we look at some of the previous charts carefully, we can see that only a handful of bacteria have a genus shared with another bacteria: Salmonella, Staphylococcus, and Streptococcus. To focus our comparison, we might add colors only for these repeated genus values._\n",
    "\n",
    "Let's add another `calculate` transform that takes a genus name, keeps it if it is one of the repeated values, and otherwise uses the string `\"Other\"`.\n",
    "\n",
    "In addition, we can add custom color encodings using explicit `domain` and `range` arrays for the color encoding `scale`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "Qmi_geBiPgvr",
    "outputId": "9e06d0a1-756a-4a46-cedf-e2be85e7b09d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Genus",
         "scale": {
          "domain": [
           "Salmonella",
           "Staphylococcus",
           "Streptococcus",
           "Other"
          ],
          "range": [
           "rgb(76,120,168)",
           "rgb(84,162,75)",
           "rgb(228,87,86)",
           "rgb(121,112,110)"
          ]
         },
         "type": "nominal"
        },
        "x": {
         "axis": {
          "tickCount": 5
         },
         "field": "Neomycin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Neomycin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "tickCount": 5
         },
         "field": "Penicillin",
         "scale": {
          "domain": [
           0.001,
           1000
          ],
          "type": "log"
         },
         "sort": "descending",
         "title": "Penicillin MIC (μg/ml, reverse log scale)",
         "type": "quantitative"
        }
       },
       "height": 250,
       "mark": {
        "size": 80,
        "type": "circle"
       },
       "transform": [
        {
         "as": "Split",
         "calculate": "split(datum.Bacteria, \" \")[0]"
        },
        {
         "as": "Genus",
         "calculate": "indexof([\"Salmonella\", \"Staphylococcus\", \"Streptococcus\"], datum.Split) >= 0 ? datum.Split : \"Other\""
        }
       ],
       "width": 250
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_circle(size=80).transform_calculate(\n",
    "  Split='split(datum.Bacteria, \" \")[0]'\n",
    ").transform_calculate(\n",
    "  Genus='indexof([\"Salmonella\", \"Staphylococcus\", \"Streptococcus\"], datum.Split) >= 0 ? datum.Split : \"Other\"'\n",
    ").encode(\n",
    "    alt.X('Neomycin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Neomycin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Y('Penicillin:Q',\n",
    "          sort='descending',\n",
    "          scale=alt.Scale(type='log', domain=[0.001, 1000]),\n",
    "          axis=alt.Axis(tickCount=5),\n",
    "          title='Penicillin MIC (μg/ml, reverse log scale)'),\n",
    "    alt.Color('Genus:N',\n",
    "          scale=alt.Scale(\n",
    "            domain=['Salmonella', 'Staphylococcus', 'Streptococcus', 'Other'],\n",
    "            range=['rgb(76,120,168)', 'rgb(84,162,75)', 'rgb(228,87,86)', 'rgb(121,112,110)']\n",
    "          ))\n",
    ").properties(width=250, height=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QQAuRPEDeRjU"
   },
   "source": [
    "_We now have a much more revealing plot, made possible by customizations to the axes and legend. Take a moment to examine the plot above. Notice any surprising groupings?_\n",
    "\n",
    "_The upper-left region has a cluster of red Streptococcus bacteria, but with a grey Other bacteria alongside them. Meanwhile, towards the middle-right we see another red Streptococcus placed far away from it's \"cousins\". Might we expect bacteria from the same genus (and thus presumably more genetically similar) to be grouped closer together?_\n",
    "\n",
    "As it so happens, the underlying dataset actually contains errors. The dataset reflects the species designations used in the early 1950s. However, the scientific consensus has since been overturned. That gray point in the upper-left? It's now considered a Streptococcus! That red point towards the middle-right? It's no longer considered a Streptococcus!\n",
    "\n",
    "Of course, on its own, this dataset doesn't fully justify these reclassifications. Nevertheless, the data contain valuable biological clues that went overlooked for decades! Visualization, when used by an appropriately skilled and inquisitive viewer, can be a powerful tool for discovery.\n",
    "\n",
    "This example also reinforces an important lesson: **_always be skeptical of your data!_**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QT1isVxqftkU"
   },
   "source": [
    "### Color by Antibiotic Response\n",
    "\n",
    "We might also use the `color` channel to encode quantitative values. Though keep in mind that typically color is not as effective for conveying quantities as position or size encodings!\n",
    "\n",
    "Here is a basic heatmap of penicillin MIC values for each bacteria. We'll use a `rect` mark and sort the bacteria by descending MIC values (from most to least resistant):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 367
    },
    "colab_type": "code",
    "id": "orEjpD5uU2m0",
    "outputId": "0a92631d-1f68-4840-d5cd-26399f559aba"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Penicillin",
         "type": "quantitative"
        },
        "y": {
         "field": "Bacteria",
         "sort": {
          "field": "Penicillin",
          "op": "max",
          "order": "descending"
         },
         "type": "nominal"
        }
       },
       "mark": "rect"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_rect().encode(\n",
    "    alt.Y('Bacteria:N',\n",
    "      sort=alt.EncodingSortField(field='Penicillin', op='max', order='descending')\n",
    "    ),\n",
    "    alt.Color('Penicillin:Q')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "UjInt4P8Ki5I"
   },
   "source": [
    "We can further improve this chart by combining features we've seen thus far: a log-transformed scale, a change of axis orientation, a custom color scheme (`plasma`), tick count adjustment, and custom title text. We'll also exercise configuration options to adjust the axis title placement and legend title alignment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 367
    },
    "colab_type": "code",
    "id": "spIpf8S6J1pJ",
    "outputId": "96210f62-39b2-4e61-a528-cd6f8b552f77"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Penicillin",
         "legend": {
          "tickCount": 5,
          "titleOrient": "right"
         },
         "scale": {
          "nice": true,
          "scheme": "plasma",
          "type": "log"
         },
         "title": "Penicillin MIC (μg/ml)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "orient": "right",
          "titleAlign": "left",
          "titleAngle": 0,
          "titleX": 7,
          "titleY": -2
         },
         "field": "Bacteria",
         "sort": {
          "field": "Penicillin",
          "op": "max",
          "order": "descending"
         },
         "type": "nominal"
        }
       },
       "mark": "rect"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics).mark_rect().encode(\n",
    "    alt.Y('Bacteria:N',\n",
    "      sort=alt.EncodingSortField(field='Penicillin', op='max', order='descending'),\n",
    "      axis=alt.Axis(\n",
    "        orient='right',     # orient axis on right side of chart\n",
    "        titleX=7,           # set x-position to 7 pixels right of chart\n",
    "        titleY=-2,          # set y-position to 2 pixels above chart\n",
    "        titleAlign='left',  # use left-aligned text\n",
    "        titleAngle=0        # undo default title rotation\n",
    "      )\n",
    "    ),\n",
    "    alt.Color('Penicillin:Q',\n",
    "      scale=alt.Scale(type='log', scheme='plasma', nice=True),\n",
    "      legend=alt.Legend(titleOrient='right', tickCount=5),\n",
    "      title='Penicillin MIC (μg/ml)'\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, we can remove the axis title altogether, and use the top-level `title` property to add a title for the entire chart:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "title": {
         "anchor": "start",
         "offset": 5
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/burtin.json"
       },
       "encoding": {
        "color": {
         "field": "Penicillin",
         "legend": {
          "tickCount": 5,
          "titleOrient": "right"
         },
         "scale": {
          "nice": true,
          "scheme": "plasma",
          "type": "log"
         },
         "title": "Penicillin MIC (μg/ml)",
         "type": "quantitative"
        },
        "y": {
         "axis": {
          "orient": "right",
          "title": null
         },
         "field": "Bacteria",
         "sort": {
          "field": "Penicillin",
          "op": "max",
          "order": "descending"
         },
         "type": "nominal"
        }
       },
       "mark": "rect",
       "title": "Penicillin Resistance of Bacterial Strains"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(antibiotics, title='Penicillin Resistance of Bacterial Strains').mark_rect().encode(\n",
    "    alt.Y('Bacteria:N',\n",
    "      sort=alt.EncodingSortField(field='Penicillin', op='max', order='descending'),\n",
    "      axis=alt.Axis(orient='right', title=None)\n",
    "    ),\n",
    "    alt.Color('Penicillin:Q',\n",
    "      scale=alt.Scale(type='log', scheme='plasma', nice=True),\n",
    "      legend=alt.Legend(titleOrient='right', tickCount=5),\n",
    "      title='Penicillin MIC (μg/ml)'\n",
    "    )\n",
    ").configure_title(\n",
    "  anchor='start', # anchor and left-align title\n",
    "  offset=5        # set title offset from chart\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "0yZWjogLK8yz"
   },
   "source": [
    "## Summary\n",
    "\n",
    "Integrating what we've learned across the notebooks so far about encodings, data transforms, and customization, you should now be prepared to make a wide variety of statistical graphics. Now you can put Altair into everyday use for exploring and communicating data!\n",
    "\n",
    "Interested in learning more about this topic?\n",
    "\n",
    "- Start with the [Altair Customizing Visualizations documentation](https://altair-viz.github.io/user_guide/customization.html).\n",
    "- For a complementary discussion of scale mappings, see [\"Introducing d3-scale\"](https://medium.com/@mbostock/introducing-d3-scale-61980c51545f).\n",
    "- For a more in-depth exploration of all the ways axes and legends can be styled by the underlying Vega library (which powers Altair and Vega-Lite), see [\"A Guide to Guides: Axes & Legends in Vega\"](https://beta.observablehq.com/@jheer/a-guide-to-guides-axes-legends-in-vega).\n",
    "- For a fascinating history of the antibiotics dataset, see [Wainer &amp; Lysen's \"That's Funny...\"](https://www.americanscientist.org/article/thats-funny) in the _American Scientist_."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
